Evidexia

Evidexia is a real-world evidence (RWE) platform developed by Inductive Quotient, designed to transform fragmented healthcare and clinical data into structured, analysis-ready, decision-grade evidence. It supports the full RWE lifecycle, covering multi-source data ingestion and harmonization, cohort design, analytics, and evidence generation and dissemination. The platform is intended for teams working on regulatory submissions, health technology assessment (HTA), market access, and commercial decision-making.

Evidexia maps data from electronic health records (EHRs), claims databases, registries, and patient-generated sources into an OMOP-aligned data model, enabling consistent analytics across heterogeneous datasets. It supports a broad range of study designs, from descriptive epidemiology to advanced causal inference and outcomes research.

Core Platform Capabilities

• OMOP Data Harmonization: Standardizes data from EHRs, claims, registries, and other real-world sources into an OMOP-aligned model to support consistent analytics across datasets.
• Visual Cohort Builder: Provides an interface for defining study populations with real-time feasibility checks and patient population insights, allowing teams to refine study criteria iteratively.
• Causal Inference Analytics: Supports methods including propensity score matching, inverse probability of treatment weighting (IPTW), and target trial emulation for rigorous RWE generation.
• NLP Clinical Note Extraction: Extracts structured insights from unstructured clinical notes using natural language processing to enrich datasets and improve evidence quality.
• Evidence Synthesis and Dissemination: Generates evidence outputs, summaries, and reporting assets to support regulatory, HTA, market access, and scientific communication needs.
• Privacy-Preserving and Federated Analytics: Enables secure, distributed analytics across institutions while supporting privacy requirements, governance frameworks, and compliant data use.

Supported Study Designs: Observational and Epidemiologic Studies

• Retrospective cohort studies
• Case-control studies
• Cross-sectional studies
• Disease epidemiology studies

Supported Study Designs: Comparative and Causal Inference Studies

• Comparative effectiveness research
• Target trial emulation
• Interrupted time series
• Self-controlled case series

Supported Study Designs: Utilization and Outcomes Research

• Drug utilization studies
• Treatment pattern analysis
• Healthcare resource utilization
• Cost-effectiveness analysis

Evidexia is built to operate across large-scale datasets, with demonstrated use on records covering 50 million or more patients. The platform incorporates regulatory-aligned workflows and governance controls, supporting compliant data use across distributed institutional environments.